Data Science Graduate Programme

Data Science Graduate Programme

Here at Admiral, data & analytics are at the heart of everything we do. They are how we achieve our goals of helping more people to look after their future and evolve our business into one that is even more agile and technology driven.

As we grow, data science is increasingly important in how we create more opportunities to provide people with access to great financial services products and accelerate the growth of our business. Above all else, we are a company that continues to put the customer at the forefront and seeks to leverage even more data and advanced analytics to improve their experience.

If you’re a STEM graduate with a passion for data, people and problem-solving, our Access to Data Science Graduate Programme is the perfect opportunity for you to kick start your career in data science and analytics. You’ll benefit from hands-on, practical placements supported by industry leaders (many of whom joined Admiral as graduates fresh from university).

This two-year programme is designed to give you a strong foundation in data analysis before you progress to a data science team that designs and implements data-driven solutions to complex business problems.

We’re looking for logical, mathematically minded people with an analytical way of thinking developed through a degree such as Maths, Physics, Engineering, Chemistry, Biology or similar. We firmly believe that the transferable skills developed in your degree put you in a strong position to learn to model and manipulate data to solve business problems across Admiral. We don’t expect any previous financial services knowledge or industry experience as you’ll learn this on the job.

What you can expect

• Starting salary: £24,150

• Start date: 04/09/2023

• Location: Hybrid, with 1-2 days per week in our Cardiff offices. We will provide you with everything you need to work comfortably from home.

• Working hours – 37.5 per week, flexible. For this role we are open to discussing the possibility of reduced hours, remote working, flexible start and finish times, or compressed hours

• A structured, two-year programme that gives you a foundation in data analysis before you progress to a data science team with comprehensive learning throughout. (Please note we cannot accept applications without work permit in the UK for the whole duration of the programme)

• The opportunity to develop general professional skills as well as your technical skills (more detail below)

• To drive your own performance and learning – you’ll receive support from your line manager, buddy, mentor and our Early Careers team, but the programme will be challenging and you’ll be expected to drive your own development

• A five-week induction introducing you to our business, culture and data community

• The chance to get involved in exciting projects and developments outside of your placements

Programme Structure

Year 1: Data Analysis

You’ll join one our MI (Management Information) teams which are responsible for the production and distribution of information around the company. Here you’ll develop the skills needed to be a first-class data analyst – including coding, stakeholder management, data visualisation and storytelling.

You’ll work closely with the wider business to provide insight and support to help with their decision-making processes and problem solving. The key focus is on analysing processes and developing reports using SAS, SQL and MicroStrategy.

Main Responsibilities

• Assist in providing business solutions by analysing information requests and collaborating with business areas to create reporting requirements
• Use Data Management and Business Information tools to turn reporting requirements into easily digestible business reports
• Ensure a high level of data quality through documenting and reconciling the process and results
• Maintain good communication with customers with regular updates on the development of their request
• Continuously develop knowledge in all aspects of the business to help provide analysis and insight to supplement report delivery

Year 2: Data Science

In year 2, you’ll build on the skills and knowledge developed in your first placement to become a competent data scientist. We have a large advanced analytics function that builds and deploys machine learning and artificial intelligence solutions for all business areas.

As a graduate data scientist you will be given on the job training in machine learning and advanced analytics as well as dedicated research time to expand your knowledge and skills. After an initial fully supported training period, you will have a chance to use cutting-edge techniques to solve real-life problems in our cloud environment.

Main responsibilities

• Development, evaluation and implementation of advanced statistical and machine learning models to extract insight from data and solve business problems.
• Creation of meaningful datasets for modelling and evaluation from a vast quantity of data in multiple formats.
• Working with stakeholders to ensure model understanding and the most is gained from the insights
• Staying up-to-date with trends and developments in technology, methods in the data science community and proactively research new skills and methods.

What are we looking for?

• Students or graduates of STEM subjects
• Someone who’s keen to work with data and use it to solve problems
• Self-starters with a can-do attitude
• Excellent people and communication skills
• You to be bold, open to change and to challenge the way things are done. Just because something is done a certain way, doesn’t mean it’s the best way.
• Personal drive and enthusiasm, with a passion for challenging yourself and developing new skills
• The readiness to learn about a new area from the bottom up

Coding Languages, Tools & Software

Depending on which team you’re placed in you’ll become proficient in a variety of industry recognised coding languages, tools and software which may include:

• Python

• Google Cloud Platform

• R

• SQL

• Microstrategy

• Excel

• Looker

Selection Process

Please note - We may close this vacancy sooner if there are a high volume of applications

• Submit your CV & written application (2 questions)
• Maths test (25 mins)
• Assessment centre (at our Cardiff office)
• 1st stage interview (virtual)
• 2nd stage interview (this could be virtual or in person)

Our Commitment to You

At Admiral, we are committed to being a diverse and inclusive workplace. Admiral is proud to be an equal opportunities employer and does not discriminate on the basis of race, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), national origin, gender, gender identity, sexual orientation, disability, age, or any other legally protected status.

If you have any questions about this position, or you require a POC, please contact the Early Careers Team.